Differential predictors of academic achievement: individual and familial factor interactions with community poverty

We present an analysis of the contexts within which adolescents graduate from high school and enroll in college. Data from the National Longitudinal Study of Adolescent Health show that adolescents’ school engagement, maternal academic monitoring, and community poverty significantly interact to explain differences in high school graduation and college enrollment rates (n?=?7100). To examine this association, we performed weighted logistic regression analyses, controlling for gender, race, block level unemployment, and block level median income. Findings suggest that protective factors can help youth overcome the challenges associated with community poverty and achieve academically in low and medium levels of poverty, but that youth in high-poverty contexts may need more resources to reach higher levels of academic attainment.     

Insecure Attachment Behavior and Partner Violence: Incorporating Couple Perceptions of Insecure Attachment and Relational Aggression

Intimate partner violence and insecure attachment are therapeutically relevant concepts when working with couples. The link between attachment and intimate partner violence has been examined in the literature, but an area of aggression that often goes unexamined is relational aggression, or using third parties as a means of being aggressive toward a partner. We asked how participants' attachment behaviors were related to their own and partners' relational and physical aggression. We used structural equation modeling to estimate actor–partner interdependence among these relationships in 644 heterosexual couples. Results indicated significant partner paths from attachment to relational aggression, as well as significant actor paths between relational aggression and physical aggression. Implications were discussed. Data for this study were collected from the RELATE assessment.     

Distractions N' Driving: video game simulation educates young drivers on the dangers of texting while driving

The proliferation of portable communication and entertainment devices has introduced new dangers to the driving environment, particularly for young and inexperienced drivers. Graduate students from George Mason University illustrate a powerful, practical, and cost-effective program that has been successful in educating these drivers on the dangers of texting while driving, which can easily be adapted and implemented in other communities.     

Household structure and housework: assessing the contributions of all household members,with a focus on children and youths

Most research into the division of household domestic labor focuses on couple households, treating other household members such as children/youths and other adults as independent variables affecting the domestic work of husbands and wives. We present an integrated analysis of variance/variance decomposition that summarizes the determinants of the housework contributions of, and the housework burden imposed by, all the individuals in four common household types, with a focus on the contributions of older children and youths. We demonstrate the importance of statistical interactions between the contributions of different household members (distinguished by partnership status, gender, and the ages and genders of children/youths), in particular for those households containing children/youths. We conclude that in order to analyze the contributions of all household members jointly, it is necessary to distinguish different household compositions for separate analysis.     

Does the retirement consumption puzzle differ across the distribution?

Previous research has repeatedly found a puzzling one-time drop in the mean and median of consumption at retirement, contrary to the predictions of the life-cycle hypothesis. However, very little is known as to whether these effects vary across the consumption distribution. This study expands upon the previous work by examining changes in the consumption distribution between the non-retired and the retired using quantile regression techniques on pseudo-cohorts from the cross-sectional data of the 1990–2007 Consumer Expenditure Survey. The results indicate that there are insignificant changes between these groups at the lower end of the consumption distribution, while there are significant decreases at the higher end of this distribution. In addition, these changes in the distribution are gradually larger in magnitude when moving from the lower end to the higher end, which is found using several different measures of consumption. Work-related expenditures are instead shown to decrease uniformly across the consumption distribution. This evidence reveals that there is a progressive distributional component to the retirement consumption puzzle.     

Examining the Psychometric Properties of the Sexual Excitation/Sexual Inhibition Inventory for Women (SESII-W) in a Sample of Lesbian and Bisexual Women

The Sexual Excitation/Sexual Inhibition Inventory for Women (SESII-W) assesses propensities for sexual excitation (SE) and inhibition (SI). Previous research utilizing the SESII-W included samples comprised exclusively or almost entirely of heterosexual women. The purpose of this study was to examine the psychometric properties of the SESII-W and assess its relation to aspects of sexual function within a sample of lesbian and bisexual women. The sample included 974 self-identified bisexual (n = 733) or lesbian/homosexual (n = 241) women who completed an online survey including items assessing women’s sexual behaviors, feelings, and functioning, sociodemographics, and the SESII-W. The sample was split; exploratory factor analyses were conducted on the first half, yielding eight lower-order factors with two higher-order factors. Confirmatory factor analysis was conducted on the second half and suggested reasonable model fit. SI was positively correlated with sexual problems and negatively correlated with sexual pleasure; the correlations were significant but small. Hierarchical regression analyses were conducted to examine the relationships between SESII-W scores and sexual problems/sexual pleasure, controlling for age, relationship duration, and relationship status. Four lower-order factors predicted reports of sexual problems. Findings indicated the SESII-W has similar psychometric properties among sexual minority women as it does among heterosexual women.     

100 key research questions for the post‐2015 development agenda

The Sustainable Development Goals (SDGs) herald a new phase for international development. This article presents the results of a consultative exercise to collaboratively identify 100 research questions of critical importance for the post‐2015 international development agenda. The final shortlist is grouped into nine thematic areas and was selected by 21 representatives of international and non‐governmental organisations and consultancies, and 14 academics with diverse disciplinary expertise from an initial pool of 704 questions submitted by 110 organisations based in 34 countries. The shortlist includes questions addressing long‐standing problems, new challenges and broader issues related to development policies, practices and institutions. Collectively, these questions are relevant for future development‐related research priorities of governmental and non‐governmental organisations worldwide and could act as focal points for transdisciplinary research collaborations.     

Inferactive data analysis

We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory and confirmatory data analysis allowing also for Bayesian data analysis. We see this as a useful step in concrete providing tools (with statistical guarantees) for current data scientists. The basis of inference we use is (a conditional approach to) selective inference, in particular its randomized form. The relevant reference distributions are constructed from what we call a DAG-DAG—a Data Analysis Generative DAG, and a selective change of variables formula is crucial to any practical implementation of inferactive data analysis via sampling these distributions. We discuss a canonical example of an incomplete cross-validation test statistic to discriminate between black box models, and a real HIV dataset example to illustrate inference after making multiple queries on data.